@kazani
WiFi DensePose
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
Key Features
Privacy-First: No cameras required - uses WiFi signals for pose detection
Real-Time Processing: Sub-50ms latency with 30 FPS pose estimation
Multi-Person Tracking: Simultaneous tracking of up to 10 individuals
Domain-Specific Optimization: Healthcare, fitness, smart home, and security applications
Enterprise-Ready: Production-grade API with authentication, rate limiting, and monitoring
Hardware Agnostic: Works with standard WiFi routers and access points
Comprehensive Analytics: Fall detection, activity recognition, and occupancy monitoring
WebSocket Streaming: Real-time pose data streaming for live applications
100% Test Coverage: Thoroughly tested with comprehensive test suite
https://github.com/davidakpele/wifi-densepose
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